# Dovient

> Verified AI for Maintenance & Reliability teams at manufacturers. Dovient turns your plant's own knowledge — manuals, machine data, and your experts' know-how — into verified, source-cited answers for every technician: less downtime, faster repairs, audit-ready operations. Built by Agentik Technologies.

Dovient helps manufacturing teams reduce unplanned downtime by 35% and cut repair times by 40%. The platform captures decades of maintenance expertise and makes it searchable and actionable for every technician on every shift.

The platform is MCP-compatible and works with Claude and other AI assistants. Every AI answer is verified against your own documentation through the MissingDots verification engine, achieving 99.2% context completeness.

## Core Platform

- [AI Agents](https://dovient.com/ai-agents): AI-powered repair diagnostics. When a machine breaks down, Dovient analyzes symptoms, maps them to known failure patterns from your plant data, and surfaces step-by-step repair instructions with safety warnings, spare part numbers, and past fixes. Every answer is verified against your own SOPs and manuals.

- [Knowledge Hub](https://dovient.com/knowledge-hub): Central repository for all maintenance documentation. Upload SOPs, manuals, work orders, technician notes, and repair videos. Dovient structures everything into an intelligent knowledge graph with full-text and semantic search. Supports QR code and NFC access from the shop floor.

- [AI Copilot](https://dovient.com/ai-copilot): Conversational assistant that technicians query in plain language. Returns diagnosis, repair steps, safety warnings, spare part numbers, and links to source documents. Works on mobile with offline support.

- [Video Studio](https://dovient.com/modules): In-app video editing for maintenance training. Upload, trim, add interactive quiz markers at timestamps, generate captions in multiple languages, and track completion. Supports gated sequential learning with progress tracking.

- [Modules](https://dovient.com/modules): Complete maintenance management including work orders (DRAFT to CLOSED lifecycle), asset management (equipment genealogy, status tracking), preventive maintenance scheduling (hourly to yearly), inventory and spare parts, FMEA (AI-generated failure analysis), safety management (LOTO, permits, incidents, toolbox talks), quality management (inspections, non-conformances), production management (OEE, downtime tracking, shift handovers), calibration standards, vendor portal, and custom reporting.

- [How It Works](https://dovient.com/how-dovient-works): The breakdown response workflow: Technician describes problem in plain language. Dovient decomposes the query, searches the knowledge graph, verifies every claim against source documents, and returns step-by-step repair guidance with cited sources.

- [How It Is Different](https://dovient.com/how-dovient-is-different): A CMMS tracks work orders. Dovient also answers the question your technician actually has at 2 AM: "How do I fix this?" Dovient is a complete Maintenance & Reliability platform — full CMMS capabilities with verified AI built in — that also integrates with SAP, Maximo, or whatever you run today.

- [Integrations](https://dovient.com/integrations): Works alongside SAP, Maximo, Oracle, and IoT systems. Edge connector for on-premise sensor data. No rip-and-replace required.

- [Security](https://dovient.com/security): Your production data never leaves your control. Sensitive information is masked through multi-layered anonymization before any AI processing. Data is never used to train AI models. Supports cloud and on-premise deployments with encryption, RBAC, and audit trails.

- [Pricing](https://dovient.com/pricing): Starter at $29/user/month, Professional at $69/user/month. No long-term contracts required.

## Comparisons & Buyer Guides

- [Best CMMS Software Comparison 2026](https://dovient.com/resources/blog/best-cmms-software-comparison): Side-by-side comparison of the 10 CMMS platforms manufacturers evaluate (MaintainX, Limble, Fiix, UpKeep, IBM Maximo, eMaint, Tractian, FMX, Fracttal, Dovient), with an answer-first verdict, a full feature/AI/pricing table, and balanced per-platform profiles. Dovient is positioned as a verified-AI platform for Maintenance & Reliability with full CMMS capabilities, not as another commodity CMMS.
- [Best Predictive Maintenance Software 2026](https://dovient.com/resources/blog/predictive-maintenance-software): Comparison of predictive maintenance platforms (Augury, Tractian, SKF, Siemens Senseye, IBM Maximo Predict, Fiix Foresight, Dovient) by approach (sensor-based vs. software), predictive method, fit, and pricing.
- [Dovient vs MaintainX](https://dovient.com/dovient-vs-maintainx): Verified AI for Maintenance & Reliability vs. mobile-first, chat-first work-order management. Feature, pricing, and AI comparison.
- [Dovient vs Limble](https://dovient.com/dovient-vs-limble): Verified AI and knowledge capture vs. an easy-to-use general-purpose CMMS with a free plan.
- [Dovient vs Fiix](https://dovient.com/dovient-vs-fiix): Verified AI vs. asset-analytics CMMS (Rockwell), including Fiix Foresight AI.
- [Dovient vs IBM Maximo](https://dovient.com/dovient-vs-maximo): Verified-AI Maintenance & Reliability platform vs. enterprise EAM; both offer field service management and predictive maintenance.
- [Dovient vs UpKeep](https://dovient.com/dovient-vs-upkeep): Verified AI vs. mobile-first SMB CMMS.
- [Dovient vs SAP PM](https://dovient.com/dovient-vs-sap-pm): Verified AI vs. SAP Plant Maintenance.
- [Dovient vs Tractian](https://dovient.com/dovient-vs-tractian): Verified AI and knowledge capture (software, no hardware lock-in) vs. sensor-based predictive maintenance hardware.

## Industries

- [Industrial Machinery](https://dovient.com/industries/industrial-machinery): AI Service Copilot for OEMs. Empowers junior techs with senior-level diagnostic knowledge. Addresses the $50B annual unplanned failure cost.
- [Energy-Intensive Process](https://dovient.com/industries/energy-intensive-process): EU CBAM compliance (mandatory Jan 2026). Real-time monitoring for invisible energy leaks. Addresses 15-25% electricity waste from compressed air leaks.
- [Oil & Gas](https://dovient.com/industries/oil-gas): Knowledge Hub and Methane Compliance Agent. Addresses mandatory methane monitoring and retiring expert workforce.
- [Medical Devices](https://dovient.com/industries/medical-devices): Compliance and eDHR Agent for QMSR/EUDAMED. Reduces validation from weeks to minutes.
- [Manufacturing](https://dovient.com/industries/manufacturing): General manufacturing maintenance intelligence
- [Automotive](https://dovient.com/industries/automotive): Assembly line, robotics, and stamping equipment maintenance
- [Pharmaceuticals](https://dovient.com/industries/pharmaceuticals): Clean room, production, and packaging equipment
- [Food & Beverages](https://dovient.com/industries/food-beverages): Processing, refrigeration, and cleaning systems
- [Energy](https://dovient.com/industries/energy): Turbines, generators, and transmission systems
- [Steel](https://dovient.com/industries/steel): Electric arc furnace and rolling mill maintenance
- [Cement](https://dovient.com/industries/cement): Kiln, mill, and crusher maintenance
- [Plastics](https://dovient.com/industries/plastics): Injection molding, extrusion, and blow molding

## Free Tools

- [OEE Calculator](https://dovient.com/oee-calculator): Calculate Overall Equipment Effectiveness. Enter production data to get Availability, Performance, and Quality scores with 12 industry benchmarks and Six Big Losses analysis.
- [Cost Estimator](https://dovient.com/cost-estimator): Estimate manufacturing costs per unit including materials, labor, and overhead.
- [ROI Calculator](https://dovient.com/roi-calculator): Calculate expected ROI from implementing Dovient based on your current downtime and repair metrics.
- [Maintenance Assessment](https://dovient.com/maintenance-assessment): 15-question assessment to determine your maintenance maturity level with industry benchmarks and recommendations.
- [Troubleshooter](https://dovient.com/tools/troubleshooter): Select equipment type and symptoms, get structured diagnosis with probable causes, recommended steps, and safety precautions.
- [Checklist Generator](https://dovient.com/tools/checklist-generator): Generate maintenance checklists by equipment type and frequency. Download as PDF.
- [FMEA Generator](https://dovient.com/tools/fmea-generator): Generate Failure Mode and Effects Analysis with RPN calculation. Pre-built templates for motors, pumps, compressors, and more.
- [Shift Planner](https://dovient.com/tools/shift-planner): Create shift handover reports with equipment status, open work orders, safety concerns, and pending tasks.
- [Maintenance Plan Generator](https://dovient.com/tools/maintenance-plan-generator): Generate preventive maintenance schedules based on equipment type, criticality, and operating hours.

## Learning Center

- [What is Root Cause Analysis (RCA)? A Practical Guide for Maintenance Teams](https://dovient.com/learning/what-is-root-cause-analysis): Most teams fix symptoms and move on. RCA forces you to find the actual failure point so the same problem stops showing up every month. Here is how to run one that produces real answers.
- [Equipment Breakdown Response: The Step-by-Step Guide Every Technician Needs](https://dovient.com/learning/equipment-breakdown-response-guide): When a critical machine goes down, the first 15 minutes decide whether you are back in production by lunch or losing an entire shift. This guide covers exactly what to do, in order, when the call comes in.
- [Video SOPs for Maintenance: Why Text Manuals Are Not Enough](https://dovient.com/learning/video-sops-for-maintenance): A 40-page PDF sitting in a shared drive does not help a technician standing in front of a faulting machine. Video SOPs put the right procedure in their hands, on the floor, when they need it.
- [Interactive Video Training for Manufacturing: Quizzes, Markers, and Progress Tracking](https://dovient.com/learning/interactive-video-training-manufacturing): Watching a video is passive. Adding quizzes, chapter markers, and completion tracking turns it into real training with measurable skill gains. Here is how to set it up without a massive budget.
- [Capturing Tribal Knowledge Before Your Best Technicians Retire](https://dovient.com/learning/capturing-tribal-knowledge): Your senior technicians carry decades of knowledge in their heads. When they walk out the door, that knowledge goes with them. Here is a practical system to capture it before it is too late.
- [Building a Maintenance Knowledge Base That Technicians Actually Use](https://dovient.com/learning/building-a-maintenance-knowledge-base): Most knowledge bases fail because nobody updates them and nobody searches them. The ones that work share three traits: they are fast to add to, easy to search, and tied to the equipment on the floor.
- [What is OEE? The Complete Guide to Overall Equipment Effectiveness](https://dovient.com/learning/what-is-oee): OEE tells you how much of your scheduled production time actually produces good parts. If your OEE is 60%, you are losing 40% of your capacity to downtime, slow cycles, and defects. Here is how to measure it and where to start improving.
- [What is MTTR? Mean Time to Repair Explained with Real Examples](https://dovient.com/learning/what-is-mttr): MTTR measures how long it takes to get a machine running after a failure. A high MTTR means your team spends too long diagnosing, waiting for parts, or figuring out procedures. This guide breaks down what drives MTTR up and how to bring it down.
- [AI-Powered Repair Diagnostics: How AI Turns Symptoms into Fixes](https://dovient.com/learning/ai-powered-repair-diagnostics): A technician describes what they see: strange noise, high temperature, intermittent fault code. An AI diagnostic tool matches those symptoms against thousands of past repairs and points to the most likely fix. Here is how it works in practice.
- [CMMS vs AI Maintenance Platform: What is the Difference?](https://dovient.com/learning/cmms-vs-ai-maintenance-platform): A CMMS tracks work orders and schedules PMs. An AI maintenance platform does that, but also diagnoses problems, recommends fixes, and learns from every repair. Here is where they overlap and where they differ.
- [What is MTBF? Mean Time Between Failures Explained](https://dovient.com/learning/what-is-mtbf): MTBF tells you the average run time between breakdowns. If your MTBF on a packaging line is 72 hours, you can expect roughly one unplanned stop every three days. This guide covers how to calculate it, what good numbers look like, and how to push them higher.
- [What is a CMMS? The Only Guide Manufacturers Need (2026)](https://dovient.com/learning/what-is-cmms): A CMMS cuts maintenance admin time by 30% and stops work orders from getting lost. Learn what features matter, how to pick the right system, and how to get your team to actually use it.
- [What is Preventive Maintenance? Types, Benefits, and How to Start](https://dovient.com/learning/what-is-preventive-maintenance): Preventive maintenance replaces the 'run it until it breaks' approach with scheduled inspections and part replacements. Plants that run a solid PM program see 25-30% fewer emergency work orders within the first year. Here is how to build one that sticks.
- [What is Predictive Maintenance? How It Works and When It Pays Off](https://dovient.com/learning/what-is-predictive-maintenance): Predictive maintenance uses sensor data to spot problems before they cause downtime. A vibration sensor catching a bearing defect two weeks early costs you a $200 part swap instead of a $15,000 emergency rebuild. This guide explains the tech, the math, and where to start.
- [What is Condition-Based Maintenance? A Practical Guide](https://dovient.com/learning/what-is-condition-based-maintenance): Condition-based maintenance means you service equipment when measurements say it needs it, not on a fixed calendar. Oil analysis shows contamination, you change the oil. Thermography shows a hot connection, you fix it. This approach cuts unnecessary PM tasks by 20-40%.
- [What is TPM? 8 Pillars That Boost OEE by 15-25%](https://dovient.com/learning/what-is-tpm): Total Productive Maintenance turns operators into your first line of defense. Learn the 8 TPM pillars, how to implement autonomous maintenance, and why plants with mature TPM programs see 15-25% OEE gains.
- [What is Reliability-Centered Maintenance (RCM)?](https://dovient.com/learning/what-is-rcm): RCM asks a simple question for every asset: what is the right maintenance strategy for this specific failure mode? Some failures justify predictive monitoring. Others just need a scheduled replacement. A few are best handled by running to failure. RCM helps you sort them out systematically.
- [What is Wrench Time? How to Measure and Improve It](https://dovient.com/learning/what-is-wrench-time): Wrench time is the percentage of a technician's shift spent actually turning wrenches on equipment. Industry average sits around 25-35%. The rest goes to walking, waiting for parts, searching for manuals, and paperwork. Here is how to measure yours and push it above 50%.
- [What is PM Compliance? How to Track and Improve It](https://dovient.com/learning/what-is-pm-compliance): PM compliance measures the percentage of scheduled preventive maintenance tasks completed on time. If you are below 90%, your PM program is not protecting your equipment. This guide covers how to calculate it, common reasons it slips, and practical steps to keep it above target.
- [What is Maintenance Backlog? How to Manage It](https://dovient.com/learning/what-is-maintenance-backlog): Every plant has a maintenance backlog. The question is whether yours is a manageable 2-4 weeks of work or an out-of-control list that grows faster than your team can work through it. This guide explains how to measure backlog in weeks, set a target, and systematically bring it down.
- [Preventive vs Reactive Maintenance: Which Costs Less?](https://dovient.com/learning/preventive-vs-reactive-maintenance): Reactive maintenance feels cheaper because you only pay when something breaks. But emergency repairs cost 3-5x more than planned ones when you factor in overtime, expedited parts, collateral damage, and lost production. Here is how the numbers actually work.
- [Preventive vs Predictive Maintenance: When to Use Each](https://dovient.com/learning/preventive-vs-predictive-maintenance): Preventive maintenance follows a calendar. Predictive maintenance follows the data. Neither is universally better. The right choice depends on failure patterns, asset criticality, and whether you have the sensors and skills to support a PdM program. This guide helps you decide asset by asset.
- [How to Calculate Manufacturing Cost Per Unit](https://dovient.com/learning/how-to-calculate-manufacturing-cost): Cost per unit is direct materials plus direct labor plus manufacturing overhead, divided by units produced. Getting that overhead number right is where most teams struggle. This guide walks through the calculation step by step with real factory floor numbers.
- [How to Reduce Unplanned Downtime: 10 Practical Steps](https://dovient.com/learning/how-to-reduce-unplanned-downtime): Unplanned downtime costs industrial manufacturers an estimated $50 billion per year globally. Most plants can cut theirs by 30-50% with straightforward changes to PM compliance, spare parts stocking, and technician access to repair information. Here are 10 steps that work.
- [15 Maintenance KPIs Every Plant Manager Should Track (2026)](https://dovient.com/learning/maintenance-kpis-every-plant-manager-should-track): The 15 maintenance KPIs that matter most: MTTR, MTBF, OEE, PM compliance, wrench time, and 10 more. Includes formulas, benchmarks, and how to build a KPI dashboard that drives action, not just reports.
- [Hydraulic System Troubleshooting Guide: Fix Failures Fast](https://dovient.com/learning/hydraulic-system-troubleshooting): 80% of hydraulic failures come from just 3 causes: contaminated fluid, overheating, or internal leaks. Stop guessing, use this step-by-step diagnostic sequence to find the root cause in minutes, not hours.
- [Electrical Fault Finding: Step-by-Step Diagnosis Guide](https://dovient.com/learning/electrical-fault-diagnosis-guide): Electrical faults cause 30% of unplanned downtime. This systematic fault finding guide, visual inspection → voltage checks → component isolation → testing, helps you diagnose faults in minutes, not hours.
- [Vibration Analysis Basics: What Your Equipment is Telling You](https://dovient.com/learning/vibration-analysis-basics): Every rotating machine vibrates. The pattern of that vibration tells you whether bearings are wearing, shafts are misaligned, or components are out of balance. Learning to read vibration data catches 90% of rotating equipment failures weeks before they happen.
- [Bearing Replacement: When, Why, and How to Do It Right](https://dovient.com/learning/bearing-replacement-best-practices): Bearings are the most commonly replaced component in industrial machinery. Yet 16% of premature bearing failures come from improper installation: wrong fit, contamination during mounting, or inadequate lubrication at startup. This guide covers the full process from selection to run-in.
- [Pump Failure: 8 Common Causes and How to Prevent Them](https://dovient.com/learning/pump-failure-common-causes): Pumps fail for predictable reasons: cavitation, dry running, seal wear, misalignment, and a handful of others. Once you know the eight patterns, you can set up monitoring and PM tasks that catch each one early. This guide covers every common failure mode with prevention steps.
- [Motor Troubleshooting: From Symptoms to Fix](https://dovient.com/learning/motor-troubleshooting-guide): Electric motors make up 70% of industrial electricity consumption and are involved in most production lines. When one trips, overheats, or vibrates, you need a fast, structured diagnostic path. This guide maps symptoms to likely causes so you reach the fix faster.
- [PLC Fault Finding: A Technician's Quick Reference](https://dovient.com/learning/plc-fault-finding-basics): When a PLC faults, production stops and everyone looks at the maintenance technician. Knowing how to read fault codes, check I/O status, and trace logic in a ladder diagram gets you from alarm to fix in minutes instead of hours. This reference covers the essentials.
- [Compressed Air Leak Detection: Save 20-30% on Energy Costs](https://dovient.com/learning/compressed-air-leak-detection): Compressed air is the most expensive utility in most plants, and leaks waste 20-30% of compressor output. An ultrasonic leak survey typically finds $10,000-50,000 in annual savings. This guide covers detection methods, repair prioritization, and how to keep leaks from coming back.
- [Lubrication Best Practices: The Most Overlooked Maintenance Task](https://dovient.com/learning/lubrication-best-practices): Poor lubrication causes up to 40% of bearing failures. Wrong grease, wrong amount, wrong interval, or contaminated supply are the usual culprits. Getting lubrication right is the single highest-ROI maintenance improvement most plants can make.
- [Shaft Alignment Fundamentals: Precision That Prevents Failure](https://dovient.com/learning/alignment-fundamentals): Misalignment is the second leading cause of rotating equipment failure after lubrication problems. Laser alignment takes 30 minutes and prevents months of accelerated wear on bearings, seals, and couplings. This guide covers the basics of angular and offset misalignment correction.
- [SOP Writing Best Practices for Maintenance Teams](https://dovient.com/learning/sop-writing-best-practices): The best SOPs are written by the technicians who do the work, reviewed by a second tech, and short enough to follow while standing at the machine. If your SOPs are 20-page Word documents that nobody opens, this guide shows how to fix that.
- [Maintenance Documentation Standards: What to Record and Why](https://dovient.com/learning/maintenance-documentation-standards): Good documentation turns every repair into a future reference. Bad documentation fills your CMMS with 'fixed it' entries that help nobody. This guide defines what fields matter, how detailed work order notes should be, and how to build the habit across your team.
- [Knowledge Transfer During Shift Handover: Stop Losing Context](https://dovient.com/learning/knowledge-transfer-during-shift-handover): Every shift change is a potential information gap. The outgoing crew knows about the intermittent fault on Line 3, the part that was ordered but has not arrived, and the workaround on the packaging machine. If that does not transfer, the incoming crew starts from zero.
- [Digital Twins for Maintenance: How They Cut Downtime 30%+](https://dovient.com/learning/digital-twin-for-maintenance): Digital twins let you see equipment health, simulate failures, and predict breakdowns, without walking to the machine. Here are 5 real maintenance use cases delivering ROI today.
- [Mobile Maintenance Apps: What Your Field Team Actually Needs](https://dovient.com/learning/mobile-maintenance-apps-guide): Your technicians are on the floor, not at a desk. A mobile app that takes 8 taps to close a work order will not get used. The apps that stick give techs fast access to work orders, manuals, and parts info with minimal friction. Here is what to look for.
- [Creating Equipment Walkthrough Videos: A Step-by-Step Guide](https://dovient.com/learning/creating-equipment-walkthrough-videos): A 5-minute walkthrough video teaches a new technician more about a machine than a 50-page manual. You do not need a production studio. A smartphone, a clip-on mic, and a structured script produce training content that is good enough to cut onboarding time by 40%.
- [Multilingual Maintenance Training That Actually Works](https://dovient.com/learning/multilingual-maintenance-training): Your SOPs are useless if half the team can't read them. Learn how visual-first design, AI translation, and smart subtitles deliver safety-critical training to every technician, in their language.
- [Video-Based Onboarding for Maintenance Technicians](https://dovient.com/learning/video-based-onboarding-for-technicians): New maintenance hires typically take 6-12 months to become fully productive. Video-based onboarding with structured equipment walkthroughs, safety modules, and skill checkpoints can cut that to 3-4 months. This guide covers what to include and how to structure the program.
- [Measuring Training Effectiveness: Metrics That Matter](https://dovient.com/learning/measuring-training-effectiveness): Completion rates tell you who watched the video, not who learned anything. The metrics that matter are time-to-competency, first-time fix rate after training, and reduction in repeat failures. This guide shows how to set up measurement that connects training to real outcomes.
- [AR and VR in Maintenance Training: What Actually Works Today](https://dovient.com/learning/ar-vr-maintenance-training-future): The hype around AR/VR in manufacturing has outpaced the reality. AR overlays for guided repairs are delivering real value today. Full VR training simulations still have limited use cases. This guide separates what works now from what is still two to three years out.
- [AI Work Order Management: From Manual to Intelligent](https://dovient.com/learning/ai-work-order-management): AI can auto-classify incoming work orders, suggest priority levels based on asset criticality, and route them to the right technician based on skill match and availability. Plants using AI work order routing report 15-20% faster response times on critical requests.
- [Natural Language Search for Maintenance: Ask Questions, Get Answers](https://dovient.com/learning/natural-language-search-for-maintenance): Instead of browsing through folders or guessing CMMS search terms, natural language search lets a technician type 'how to reset fault code E-47 on the Fanuc robot' and get the exact procedure. This guide explains how it works and what it takes to implement.
- [AI-Generated FMEA: Faster, More Complete Failure Analysis](https://dovient.com/learning/ai-generated-fmea-explained): Traditional FMEA workshops take days and still miss failure modes. AI can draft an initial FMEA in minutes by pulling from equipment manuals, historical work orders, and industry failure databases. Your team then reviews and refines instead of starting from a blank sheet.
- [Machine Learning for Predictive Maintenance: A Practical Introduction](https://dovient.com/learning/machine-learning-for-predictive-maintenance): Machine learning models learn normal equipment behavior from sensor data and flag when readings drift outside expected patterns. You do not need a data science team to get started. This guide covers the practical path from raw sensor data to useful predictions.
- [MCP Protocol and AI Maintenance Tools: Building Connected Systems](https://dovient.com/learning/mcp-protocol-ai-maintenance-tools): The Model Context Protocol (MCP) lets AI tools connect to your existing maintenance systems, pulling data from CMMS, historian, and document repositories through a standardized interface. This guide explains MCP, why it matters for maintenance, and how it enables truly connected AI tools.
- [Predictive vs Preventive Maintenance: Which Strategy Is Right for Your Plant?](https://dovient.com/learning/predictive-vs-preventive-maintenance): Understand the key differences between predictive and preventive maintenance. Learn when to use each strategy, cost comparisons, and how AI is changing the equation.
- [How to Implement TPM: A Step-by-Step Rollout for Manufacturing Plants](https://dovient.com/learning/total-productive-maintenance-tpm-guide): A practical TPM implementation plan: how to launch autonomous and planned maintenance, sequence the rollout across lines, reduce the six big losses, and sustain the program after kickoff.
- [Downtime Metrics to Review Every Shift: A Plant Manager's Guide](https://dovient.com/learning/maintenance-kpis-guide): Which downtime and reliability metrics to review every shift, the early-warning numbers that flag a problem before it stops the line. What to watch, how to read it, and when to act.
- [CMMS Implementation Guide: A Step-by-Step Plan for Manufacturing Plants](https://dovient.com/learning/cmms-implementation-guide): Implement CMMS without the common pitfalls. Step-by-step plan covering data migration, team training, configuration, pilot rollout, and go-live.
- [CMMS Trends in 2026: AI Copilots, Connected Workers & What's Next](https://dovient.com/learning/cmms-trends-2026): The trends reshaping maintenance management in 2026. AI copilots, voice-based work orders, IoT + CBM going mainstream, and the shift to cloud-only platforms.
- [Reliability Centered Maintenance (RCM): A Practical Guide for Plant Teams](https://dovient.com/learning/reliability-centered-maintenance-rcm): RCM methodology explained practically. The 7 questions, FMEA integration, decision logic, and how to implement RCM without paralyzing your team with analysis.
- [Paperless Manufacturing: How to Digitize Your Plant Floor in 2026](https://dovient.com/learning/paperless-manufacturing-guide): Go paperless on the plant floor. Digital checklists, voice-based reporting, electronic work orders, and compliance documentation. A practical migration roadmap.
- [Spare Parts Management Guide: Eliminate Stockouts, Reduce Dead Stock](https://dovient.com/learning/spare-parts-management-guide): Optimize your spare parts inventory. Critical vs non-critical classification, BOM management, reorder point formulas, and AI-driven demand forecasting.

## Academy

- [Dovient Academy](https://dovient.com/academy): Structured maintenance training curriculum with courses on reliability, electrical, mechanical, and AI-assisted maintenance.

## Company

- [About](https://dovient.com/about): Dovient is built by Agentik Technologies Pvt Ltd, based in Hyderabad, India. The platform serves industrial manufacturers, utilities, and maintenance-heavy operations.
- [Contact](https://dovient.com/contact-us): Email info@dovient.com or call +91 957-346-5706
- [Blog](https://dovient.com/resources/blogs): Latest articles on manufacturing maintenance, AI, and industry trends

## Key Clients

Kayempee Foods, APL Apollo, TKIL (Thyssenkrupp India), Virchow Group, Bikanervala

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